The American Statistician最新文献

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Melded Confidence Intervals Do Not Provide Guaranteed Coverage 融合置信区间不提供保证覆盖
The American Statistician Pub Date : 2023-09-08 DOI: 10.1080/00031305.2023.2257253
Jesse Frey, Yimin Zhang
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引用次数: 0
Bivariate Analysis of Distribution Functions Under Biased Sampling 偏抽样下分布函数的双变量分析
The American Statistician Pub Date : 2023-08-21 DOI: 10.1080/00031305.2023.2249965
Hsin-wen Chang, Shu-Hsiang Wang
{"title":"Bivariate Analysis of Distribution Functions Under Biased Sampling","authors":"Hsin-wen Chang, Shu-Hsiang Wang","doi":"10.1080/00031305.2023.2249965","DOIUrl":"https://doi.org/10.1080/00031305.2023.2249965","url":null,"abstract":"","PeriodicalId":342642,"journal":{"name":"The American Statistician","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117040764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bayesian Detection of Bias in Peremptory Challenges Using Historical Strike Data 基于历史罢工数据的强制挑战中偏差的贝叶斯检测
The American Statistician Pub Date : 2023-08-21 DOI: 10.1080/00031305.2023.2249967
Sachin S. Pandya, X. Li, Eric Barón, T. Moore
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引用次数: 0
Multiple-model-based robust estimation of causal treatment effect on a binary outcome with integrated information from secondary outcomes 基于多模型的对二元结果的因果治疗效果的稳健估计,并综合了次要结果的信息
The American Statistician Pub Date : 2023-08-21 DOI: 10.1080/00031305.2023.2250399
Chixiang Chen, Shuo Chen, Qi Long, Sudeshna Das, Ming Wang
{"title":"Multiple-model-based robust estimation of causal treatment effect on a binary outcome with integrated information from secondary outcomes","authors":"Chixiang Chen, Shuo Chen, Qi Long, Sudeshna Das, Ming Wang","doi":"10.1080/00031305.2023.2250399","DOIUrl":"https://doi.org/10.1080/00031305.2023.2250399","url":null,"abstract":"","PeriodicalId":342642,"journal":{"name":"The American Statistician","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116150597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Counting the unseen: Estimation of susceptibility proportions in zero-inflated models using a conditional likelihood approach 计算看不见的:使用条件似然方法估计零膨胀模型中的敏感性比例
The American Statistician Pub Date : 2023-08-18 DOI: 10.1080/00031305.2023.2249529
W. Hwang, Lu-Fang Chen, J. Stoklosa
{"title":"Counting the unseen: Estimation of susceptibility proportions in zero-inflated models using a conditional likelihood approach","authors":"W. Hwang, Lu-Fang Chen, J. Stoklosa","doi":"10.1080/00031305.2023.2249529","DOIUrl":"https://doi.org/10.1080/00031305.2023.2249529","url":null,"abstract":"","PeriodicalId":342642,"journal":{"name":"The American Statistician","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116024022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
First-passage times for random partial sums: Yadrenko’s model for e and beyond 随机部分和的首次通过时间:y肾上腺科的e及以后的模型
The American Statistician Pub Date : 2023-08-10 DOI: 10.1080/00031305.2023.2244542
J. Cohen
{"title":"First-passage times for random partial sums: Yadrenko’s model for e and beyond","authors":"J. Cohen","doi":"10.1080/00031305.2023.2244542","DOIUrl":"https://doi.org/10.1080/00031305.2023.2244542","url":null,"abstract":"","PeriodicalId":342642,"journal":{"name":"The American Statistician","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130217269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction 贝叶斯多变量与单变量正态回归预测模型的比较
The American Statistician Pub Date : 2023-07-03 DOI: 10.1080/00031305.2022.2087735
Xun Li, Joyee Ghosh, G. Villarini
{"title":"A Comparison of Bayesian Multivariate Versus Univariate Normal Regression Models for Prediction","authors":"Xun Li, Joyee Ghosh, G. Villarini","doi":"10.1080/00031305.2022.2087735","DOIUrl":"https://doi.org/10.1080/00031305.2022.2087735","url":null,"abstract":"Abstract In many moderate dimensional applications we have multiple response variables that are associated with a common set of predictors. When the main objective is prediction of the response variables, a natural question is: do multivariate regression models that accommodate dependency among the response variables improve prediction compared to their univariate counterparts? Note that in this article, by univariate versus multivariate regression models we refer to regression models with a single versus multiple response variables, respectively. We assume that under both scenarios, there are multiple covariates. Our question is motivated by an application in climate science, which involves the prediction of multiple metrics that measure the activity, intensity, severity etc. of a hurricane season. Average sea surface temperatures (SSTs) during the hurricane season have been used as predictors for each of these metrics, in separate univariate regression models, in the literature. Since the true SSTs are yet to be observed during prediction, typically their forecasts from multiple climate models are used as predictors. Some climate models have a few missing values so we develop Bayesian univariate/multivariate normal regression models, that can handle missing covariates and variable selection uncertainty. Whether Bayesian multivariate normal regression models improve prediction compared to their univariate counterparts is not clear from the existing literature, and in this work we try to fill this gap.","PeriodicalId":342642,"journal":{"name":"The American Statistician","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114353149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Event History Analysis with R, 2nd ed. 事件历史分析与R,第2版。
The American Statistician Pub Date : 2023-07-03 DOI: 10.1080/00031305.2023.2230758
Din Chen
{"title":"Event History Analysis with R, 2nd ed.","authors":"Din Chen","doi":"10.1080/00031305.2023.2230758","DOIUrl":"https://doi.org/10.1080/00031305.2023.2230758","url":null,"abstract":"","PeriodicalId":342642,"journal":{"name":"The American Statistician","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114623447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Play Call Strategies and Modeling for Target Outcomes in Football 足球比赛目标结果的策略与建模
The American Statistician Pub Date : 2023-06-09 DOI: 10.1080/00031305.2023.2223582
Preston Biro, S. Walker
{"title":"Play Call Strategies and Modeling for Target Outcomes in Football","authors":"Preston Biro, S. Walker","doi":"10.1080/00031305.2023.2223582","DOIUrl":"https://doi.org/10.1080/00031305.2023.2223582","url":null,"abstract":"","PeriodicalId":342642,"journal":{"name":"The American Statistician","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132118422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Inverse probability weighting estimation in completely randomized experiments 完全随机实验中的逆概率加权估计
The American Statistician Pub Date : 2023-05-22 DOI: 10.1080/00031305.2023.2216247
Biao Zhang
{"title":"Inverse probability weighting estimation in completely randomized experiments","authors":"Biao Zhang","doi":"10.1080/00031305.2023.2216247","DOIUrl":"https://doi.org/10.1080/00031305.2023.2216247","url":null,"abstract":"","PeriodicalId":342642,"journal":{"name":"The American Statistician","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114912667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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